Chetan L. Srinidhi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 341 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it
• Computer Vision and Pattern Recognition — 79 citations into it
• Biophysics — 19 citations into it
• Medical Imaging — 11 citations into it
• Model Architectures — 11 citations into it
• Generative Models — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Chetan L. Srinidhi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Diederik P. Kingma
9. Andrew Zisserman
10. Ilya Sutskever

Who trusts Chetan L. Srinidhi overall

1. Andre Esteva
2. Pegah Khosravi

Papers from Chetan L. Srinidhi's perspective

Ordered by how strongly the researchers Chetan L. Srinidhi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep neural network models for computational histopathology: A survey (2019) — 725 citations